215 citations · 411 across the 8 of their papers we have counts for
5 papers · 1 filter
Automated point-neuron simplification of data-driven microcircuit models
Christian Rössert, Christian Pozzorini, Giuseppe Chindemi +13
A method is presented for the reduction of morphologically detailed microcircuit models to a point-neuron representation without human intervention. The simplification occurs in a…
BluePyOpt: Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience
Werner Van Geit, Michael Gevaert, Giuseppe Chindemi +6
At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available exper…
Cellular Adaptation Accounts for the Sparse and Reliable Sensory Stimulus Representation
Farzad Farkhooi, Anja Froese, Eilif Muller +2
Most neurons in peripheral sensory pathways initially respond vigorously when a preferred stimulus is presented, but adapt as stimulation continues. It is unclear how this phenomen…
A Comprehensive Workflow for General-Purpose Neural Modeling with Highly Configurable Neuromorphic Hardware Systems
Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger +31
In this paper we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems.…
Simulation of networks of spiking neurons: A review of tools and strategies
R. Brette, M. Rudolph, T. Carnevale +19
We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently imple…